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| author | Douglas Rumbaugh <dbr4@psu.edu> | 2025-06-27 15:21:38 -0400 |
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| committer | Douglas Rumbaugh <dbr4@psu.edu> | 2025-06-27 15:21:38 -0400 |
| commit | fcdbcbcd45dc567792429bb314df53b42ed9f22e (patch) | |
| tree | 3f7c135b7b32022fa0a9f03361e60cc0cc4f86e0 /chapters/sigmod23/introduction.tex | |
| parent | ff528e8595e82802832930fae6c9ccee7afd23cb (diff) | |
| download | dissertation-fcdbcbcd45dc567792429bb314df53b42ed9f22e.tar.gz | |
updates
Diffstat (limited to 'chapters/sigmod23/introduction.tex')
| -rw-r--r-- | chapters/sigmod23/introduction.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/chapters/sigmod23/introduction.tex b/chapters/sigmod23/introduction.tex index 8f0635d..7ff82cd 100644 --- a/chapters/sigmod23/introduction.tex +++ b/chapters/sigmod23/introduction.tex @@ -22,7 +22,7 @@ them. Existing implementations tend to sacrifice either performance, by requiring the entire result set of be materialized prior to applying Bernoulli sampling, or statistical independence. There exists techniques for obtaining both sampling performance and independence by leveraging -existing B+Tree indices with slight modification~\cite{olken-thesis}, +existing B+tree indices with slight modification~\cite{olken-thesis}, but even this technique has worse sampling performance than could be achieved using specialized static sampling indices. |